18 results match your criteria wearable bite

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Development of a Wearable Mouth Guard Device for Monitoring Teeth Clenching during Exercise.

Sensors (Basel) 2021 Feb 22;21(4). Epub 2021 Feb 22.

Department of Sports Medicine/Dentistry, Division of Public Health, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan.

Teeth clenching during exercise is important for sports performance and health. Recently, several mouth guard (MG)-type wearable devices for exercise were studied because they do not disrupt the exercise. In this study, we developed a wearable MG device with force sensors on both sides of the maxillary first molars to monitor teeth clenching. Read More

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February 2021

Assessment of real life eating difficulties in Parkinson's disease patients by measuring plate to mouth movement elongation with inertial sensors.

Sci Rep 2021 Jan 15;11(1):1632. Epub 2021 Jan 15.

Multimedia Understanding Group, Information Processing Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Parkinson's disease (PD) is a neurodegenerative disorder with both motor and non-motor symptoms. Despite the progressive nature of PD, early diagnosis, tracking the disease's natural history and measuring the drug response are factors that play a major role in determining the quality of life of the affected individual. Apart from the common motor symptoms, i. Read More

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January 2021

The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention.

Digit Health 2020 Jan-Dec;6:2055207620976755. Epub 2020 Nov 30.

Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, USA.

Self-efficacy (SE) and information processing (IP) may be important constructs to target when designing mHealth interventions for weight loss. The goal of this study was to examine the relationship between SE and IP with weight loss at six-months as part of the Dietary Interventions Examining Tracking with mobile study, a six-month randomized trial with content delivered remotely via twice-weekly podcasts. Participants were randomized to self-monitor their diet with either a mobile app (n = 42) or wearable Bite Counter device (n = 39). Read More

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November 2020

Automatic Count of Bites and Chews From Videos of Eating Episodes.

IEEE Access 2020 1;8:101934-101945. Epub 2020 Jun 1.

Electrical and Computer Engineering Department, The University of Alabama, Tuscaloosa, AL 35487, USA.

Methods for measuring of eating behavior (known as meal microstructure) often rely on manual annotation of bites, chews, and swallows on meal videos or wearable sensor signals. The manual annotation may be time consuming and erroneous, while wearable sensors may not capture every aspect of eating (e.g. Read More

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Mosquito bite prevention through graphene barrier layers.

Proc Natl Acad Sci U S A 2019 09 26;116(37):18304-18309. Epub 2019 Aug 26.

School of Engineering, Brown University, Providence, RI 02912;

Graphene-based materials are being developed for a variety of wearable technologies to provide advanced functions that include sensing; temperature regulation; chemical, mechanical, or radiative protection; or energy storage. We hypothesized that graphene films may also offer an additional unanticipated function: mosquito bite protection for light, fiber-based fabrics. Here, we investigate the fundamental interactions between graphene-based films and the globally important mosquito species, , through a combination of live mosquito experiments, needle penetration force measurements, and mathematical modeling of mechanical puncture phenomena. Read More

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September 2019

Simultaneous Measurement of Ear Canal Movement, Electromyography of the Masseter Muscle and Occlusal Force for Earphone-Type Occlusal Force Estimation Device Development.

Sensors (Basel) 2019 Aug 6;19(15). Epub 2019 Aug 6.

Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan.

We intend to develop earphone-type wearable devices to measure occlusal force by measuring ear canal movement using an ear sensor that we developed. The proposed device can measure occlusal force during eating. In this work, we simultaneously measured the ear canal movement (ear sensor value), the surface electromyography (EMG) of the masseter muscle and the occlusal force six times from five subjects as a basic study toward occlusal force meter development. Read More

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Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

J Acad Nutr Diet 2019 09 30;119(9):1516-1524. Epub 2019 May 30.

Background: Mobile dietary self-monitoring methods allow for objective assessment of adherence to self-monitoring; however, the best way to define self-monitoring adherence is not known.

Objective: The objective was to identify the best criteria for defining adherence to dietary self-monitoring with mobile devices when predicting weight loss.

Design: This was a secondary data analysis from two 6-month randomized trials: Dietary Intervention to Enhance Tracking with Mobile Devices (n=42 calorie tracking app or n=39 wearable Bite Counter device) and Self-Monitoring Assessment in Real Time (n=20 kcal tracking app or n=23 photo meal app). Read More

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September 2019

Food Composition Impacts the Accuracy of Wearable Devices When Estimating Energy Intake from Energy-Dense Food.

Nutrients 2019 May 24;11(5). Epub 2019 May 24.

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy.

The present study aimed to assess the feasibility and reliability of an a3utomatic food intake measurement device in estimating energy intake from energy-dense foods. Eighteen volunteers aged 20-36 years were recruited from the University of Padova. The device used in the present study was the Bite Counter (Bite Technologies, Pendleton, USA). Read More

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Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study.

JMIR Res Protoc 2019 03 12;8(3):e12116. Epub 2019 Mar 12.

Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy.

Background: The monitoring of caloric intake is an important challenge for the maintenance of individual and public health. The instruments used so far for dietary monitoring (eg, food frequency questionnaires, food diaries, and telephone interviews) are inexpensive and easy to implement but show important inaccuracies. Alternative methods based on wearable devices and wrist accelerometers have been proposed, yet they have limited accuracy in predicting caloric intake because analytics are usually not well suited to manage the massive sets of data generated from these types of devices. Read More

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Not all electric shark deterrents are made equal: Effects of a commercial electric anklet deterrent on white shark behaviour.

PLoS One 2019 11;14(3):e0212851. Epub 2019 Mar 11.

The UWA Oceans Institute and the Oceans Graduate School, The University of Western Australia, Crawley, Western Australia, Australia.

Personal shark deterrents offer the potential of a non-lethal solution to protect individuals from negative interactions with sharks, but the claims of effectiveness of most deterrents are based on theory rather than robust testing of the devices themselves. Therefore, there is a clear need for thorough testing of commercially available shark deterrents to provide the public with information on their effectiveness. Using a modified stereo-camera system, we quantified behavioural interactions between Carcharodon carcharias (white sharks) and a baited target in the presence of a commercially available electric anklet shark deterrent, the Electronic Shark Defense System (ESDS). Read More

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November 2019

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data.

IEEE J Biomed Health Inform 2019 11 9;23(6):2325-2334. Epub 2019 Jan 9.

Overweight and obesity are both associated with in-meal eating parameters such as eating speed. Recently, the plethora of available wearable devices in the market ignited the interest of both the scientific community and the industry toward unobtrusive solutions for eating behavior monitoring. In this paper, we present an algorithm for automatically detecting the in-meal food intake cycles using the inertial signals (acceleration and orientation velocity) from an off-the-shelf smartwatch. Read More

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November 2019

Modeling Electronic Skin Response to Normal Distributed Force.

Lucia Seminara

Sensors (Basel) 2018 Feb 3;18(2). Epub 2018 Feb 3.

Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, via Opera Pia 11A, University of Genoa, Genoa 16145, Italy.

The reference electronic skin is a sensor array based on PVDF (Polyvinylidene fluoride) piezoelectric polymers, coupled to a rigid substrate and covered by an elastomer layer. It is first evaluated how a distributed normal force (Hertzian distribution) is transmitted to an extended PVDF sensor through the elastomer layer. A simplified approach based on Boussinesq's half-space assumption is used to get a qualitative picture and extensive FEM simulations allow determination of the quantitative response for the actual finite elastomer layer. Read More

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February 2018

Wearable Devices for Caloric Intake Assessment: State of Art and Future Developments.

Open Nurs J 2017 31;11:232-240. Epub 2017 Oct 31.

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padova, Italy.

Background: The self-monitoring of caloric intake is becoming necessary as the number of pathologies related to eating increases. New wearable devices may help people to automatically record energy assumed in their meals.

Objective: The present review collects the released articles about wearable devices or method for automatic caloric assessments. Read More

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October 2017

The quantified self during travel: mapping health in a prospective cohort of travellers.

J Travel Med 2017 Sep;24(5)

Epidemiology, Biostatistics and Prevention Institute.

Background: Travel medicine research has remained relatively unchanged in the face of rapid expansion of international travel and is unlikely to meet health challenges beyond infectious diseases. Our aim was to identify the range of health outcomes during travel using real-time monitoring and daily reporting of health behaviours and outcomes and identify traveller subgroups who may benefit from more targeted advice before and during travel.

Methods: We recruited a prospective cohort of travellers ≥ 18 years and planning travel to Thailand for <5 weeks from the travel clinics in Zurich and Basel (Switzerland). Read More

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September 2017

The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial.

Obesity (Silver Spring) 2017 08 10;25(8):1336-1342. Epub 2017 Jun 10.

Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina, USA.

Objective: To examine the use of two different mobile dietary self-monitoring methods for weight loss.

Methods: Adults with overweight (n = 81; mean BMI 34.7 ± 5. Read More

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Tracking food intake as bites: Effects on cognitive resources, eating enjoyment, and self-control.

Appetite 2017 04 15;111:23-31. Epub 2016 Dec 15.

Department of Marketing, University of Arkansas, Fayetteville, AR 72701, USA. Electronic address:

While monitoring food intake is critical for controlling eating, traditional tools designed for this purpose can be impractical when one desires real-time feedback. Further, the act of monitoring can deplete valuable cognitive resources. In response to these concerns, technologies have been developed to aid those wanting to control their food intake. Read More

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Effects of Bite Count Feedback from a Wearable Device and Goal Setting on Consumption in Young Adults.

J Acad Nutr Diet 2016 11 23;116(11):1785-1793. Epub 2016 Jun 23.

Background: New technologies are emerging that may help individuals engage in healthier eating behaviors. One paradigm to test the efficacy of a technology is to determine its effect relative to environment cues that are known to cause individuals to overeat.

Objective: The purpose of this work was to independently investigate two questions: How does the presence of a technology that provides bite count feedback alter eating behavior? and, How does the presence of a technology that provides bite count feedback paired with a goal alter eating behavior?

Design: Two studies investigated these research questions. Read More

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November 2016

Ultrasensitive, passive and wearable sensors for monitoring human muscle motion and physiological signals.

Biosens Bioelectron 2016 Mar 26;77:907-13. Epub 2015 Oct 26.

Department of Physics, Nanchang University, Nanchang 330031, PR China; Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, Nanchang 330031, PR China. Electronic address:

Flexible sensors have attracted more and more attention as a fundamental part of anthropomorphic robot research, medical diagnosis and physical health monitoring. Here, we constructed an ultrasensitive and passive flexible sensor with the advantages of low cost, lightness and wearability, electric safety and reliability. The fundamental mechanism of the sensor is based on triboelectric effect inducing electrostatic charges on the surfaces between two different materials. Read More

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